50 AI Prompts Every Developer Should Know

Table of Contents

• How to Use This List
• Code Generation
• Code Review & Debugging
• Architecture & Planning
• Productivity Prompts
• API & Integration

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50 AI Prompts Every Developer Should Know is changing fast in 2026. The practitioners winning are the ones combining strong fundamentals with the right AI tools — not just chasing the newest model.

How to Use This List

These prompts work with Claude, ChatGPT, or any capable LLM. Replace items in [brackets] with your specifics.

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Code Generation

1. "Write a [language] function that [task]. 
   Include error handling and inline comments."

2. "Create a REST API endpoint in [framework] 
   for [resource] with CRUD operations."

3. "Generate a TypeScript interface for [data structure]."

4. "Write unit tests for this function: [paste code]"

5. "Create a React component for [UI element] 
   using Tailwind CSS."

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Code Review & Debugging

6. "Review this code for bugs, security issues, 
   and performance problems: [paste code]"

7. "This code throws [error message]. 
   Find the bug and explain the fix: [paste code]"

8. "Explain what this code does in plain English: 
   [paste code]"

9. "Suggest 3 ways to refactor this for better 
   readability: [paste code]"

10. "Check this for SQL injection vulnerabilities: 
    [paste query]"

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Architecture & Planning

11. "Design a system architecture for [app type] 
    with [requirements]. Show components and data flow."

12. "Compare [option A] vs [option B] for 
    [use case]. Give pros, cons, and recommendation."

13. "Write a technical spec for [feature] 
    including: requirements, edge cases, API design."

14. "What database schema would you design for 
    [use case]? Explain the reasoning."

15. "What are the main scaling challenges for 
    [architecture] at 100K users?"

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Productivity Prompts

#	Prompt	Output
16	"Write git commit messages for these changes: [summary]"	Clean commits
17	"Convert this to [language]: [code]"	Translation
18	"Write a README for this project: [description]"	Documentation
19	"Create a .env.example from these env vars: [list]"	Config template
20	"Write a Dockerfile for a [framework] app"	Container config

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API & Integration

21. "Write a fetch call to [API endpoint] with 
    error handling and loading states."

22. "Convert this REST API to GraphQL: [spec]"

23. "Generate Shopify Admin API query to [task]"

24. "Write a webhook handler for [platform] 
    with signature verification."

25. "Generate TypeScript types from this API 
    response: [JSON]"

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💡 Bookmark this. The developers who get the most from AI aren't those with the smartest prompts — they're the ones who use prompts consistently across their entire workflow.

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Tools Referenced in This Post

• Claude — Referenced in this article
• ChatGPT — Referenced in this article
• Cursor — Referenced in this article
• GitHub Copilot — Referenced in this article